An operations team monitors a high-throughput IoT analytics platform that streams write traffic to a Cloud Bigtable instance. During peak usage windows, monitoring alerts show that CPU utilization on the Bigtable cluster exceeds 80%, causing significant write latency spikes. The team needs an immediate operational resolution to lower CPU usage and restore low latency without application code modifications or data schema changes. Which action should the Cloud Engineer take?
- Increase the number of nodes in the Cloud Bigtable cluster using the Cloud Console or gcloud bigtable clusters update command.Answer
- BMigrate the IoT write workloads to a Cloud SQL for MySQL instance configured with read replicas.
- CChange the storage class of the Bigtable cluster to Coldline to reduce memory and processing overhead.
- DExecute gsutil perfdiag against the Bigtable cluster endpoint to automatically optimize IOPS throughput.
Answer
Increase the number of nodes in the Cloud Bigtable cluster using the Cloud Console or gcloud bigtable clusters update command.
Cloud Bigtable scales compute and storage independently. When high CPU utilization causes increased latency, increasing the node count instantly redistributes the workload across more nodes, decreasing per-node CPU utilization and lowering latency with zero downtime.
Step-by-Step Solution
Key Concept
Cloud Bigtable Performance Management and Operational Scaling